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Influencing health-related behaviour with wearable cameras: strategies & ethical considerations

Published: 18 November 2013 Publication History

Abstract

BACKGROUND: The growing global burden of noncommunicable diseases makes it important to monitor and influence a range of health-related behaviours such as diet and physical activity Wearable cameras appear to record and reveal many of these behaviours in more accessible ways. However, having determined opportunities for improvement, most health-related interventions fail to result in lasting changes.
AIM: To assess the use of wearable cameras as part of a behaviour change strategy and consider ethical implications of their use.
METHODS: We examine relevant principles from behavioural science theory and consider the way images enhance or change the processes which underpin behaviour change. We propose ways for researchers to instigate the use of and engagement with these images to lead to more effective and long-lasting behaviour change interventions. We also consider the ethical implications of using digital life-logging technologies in these ways. We discuss the potential harms and benefits of such approaches for both the wearer and those they meet.
DISCUSSION: Future behaviour change strategies based on self-monitoring could consider the use of wearable cameras. It is important that such work considers the ethical implications of this research and adheres to accepted guidelines and principles.

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cover image ACM Other conferences
SenseCam '13: Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
November 2013
99 pages
ISBN:9781450322478
DOI:10.1145/2526667
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • QI: Qualcomm Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 November 2013

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Author Tags

  1. behaviour change
  2. technology theory
  3. wearable cameras

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  • Research-article

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SenseCam '13
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  • QI
SenseCam '13: International SenseCam & Pervasive Imaging Conference 2013
November 18 - 19, 2013
California, San Diego, USA

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SenseCam '13 Paper Acceptance Rate 9 of 22 submissions, 41%;
Overall Acceptance Rate 9 of 22 submissions, 41%

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  • (2022)Feasibility and Acceptability of Wearable Cameras to Assess Self-care in People with Heart Failure: A Pilot Study (Preprint)JMIR Formative Research10.2196/40536Online publication date: 25-Jun-2022
  • (2020)Everyday visual demands of people with low vision: A mixed methods real-life recording studyJournal of Vision10.1167/jov.20.9.320:9(3)Online publication date: 2-Sep-2020
  • (2019)Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping ReviewJMIR mHealth and uHealth10.2196/103717:1(e10371)Online publication date: 3-Jan-2019
  • (2017)Big Data is a big lie without little data: Humanistic intelligence as a human rightBig Data & Society10.1177/20539517176915504:1Online publication date: 1-Feb-2017
  • (2016)Smart-Glasses: Exposing and Elucidating the Ethical IssuesScience and Engineering Ethics10.1007/s11948-016-9792-z23:3(701-721)Online publication date: 18-Jul-2016
  • (2016)Design Thinking Health: Telepresence for Remote Teams with Mobile Augmented RealityDesign Thinking Research10.1007/978-3-319-19641-1_5(53-66)Online publication date: 2016
  • (2015)The Role of Accidental Self-Reflection in Wearable Camera ResearchProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2786567.2794324(1062-1065)Online publication date: 24-Aug-2015
  • (2015)DatawearProceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2702613.2725450(323-326)Online publication date: 18-Apr-2015

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